D-MARKET Electronic Services & Trading (HEPS) Total Current Liabilities (2020 - 2025)
D-MARKET Electronic Services & Trading (HEPS) posted Total Current Liabilities of -$2.91 billion for the quarter ended Dec 31, 2025.
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Analysis
D-MARKET Electronic Services & Trading (HEPS) Total Current Liabilities (2020 - 2025) Analysis & Trends
Since the quarter ended Mar 31, 2022, D-MARKET Electronic Services & Trading has reported Total Current Liabilities for 9 quarters.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Total Current Liabilities since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.64 Bn | 2,345.34 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 313.92 Bn | 307.16 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.69 Bn | 140.24 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 111.17 Bn | 104.13 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.49 Bn | 58.42 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.96 Bn | 73.05 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 70.15 Bn | 64.74 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.68 Bn | 50.58 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.48 Bn | 33.98 Bn | 1.38 Bn | 2.04 Bn |
| 10 | D-MARKET Electronic Services & Trading | 1.02 Bn | 99.53 Mn | - | 777.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 777.39 Mn |
| Dec 31, 2024 | 611.41 Mn |
| Dec 31, 2023 | 462.27 Mn |
| Dec 31, 2022 | 414.15 Mn |
| Dec 31, 2021 | 376.25 Mn |
| Dec 31, 2020 | 360.22 Mn |
API Access
D-MARKET Electronic Services & Trading Total Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=HEPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "HEPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=HEPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();